The goal of the XLike project is to develop technology to monitor and aggregate knowledge that is currently spread across mainstream and social media, and to enable cross-lingual services for publishers, media monitoring and business intelligence.

The aim is to combine scientific insights from several scientific areas to contribute in the area of cross-lingual text understanding. By combining modern computational linguistics, machine learning, text mining and semantic technologies we plan to deal with the following two key open research problems:

• to extract and integrate formal knowledge from multilingual texts with cross-lingual knowledge bases, and
• to adapt linguistic techniques and crowdsourcing to deal with irregularities in informal language used primarily in social media.